Gamma-ray Source Identification by a Vehicle-mounted 4π Compton Imager

Hideki Tomita, Agus Nurrachman, Hiroyuki Takahashi, Hidetake Ebi, Fumihiko Ishida, Eiji Takada, Jun Kawarabayashi, Ken'Ichi Tsuchiya, Tetsuo Iguchi, Atsushi Mukai, Kotaro Kanamori, Kenji Shimazoe, Hanwool Woo, Yusuke Tamura, Shintaro Hara, Ryohei Terabayashi, Mizuki Uenomachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Identification method for a hidden or shielded gamma-ray source using a vehicle-mounted 4pi gamma-ray imager was proposed. Since 4pi gamma-ray imaging provides direction of incident gamma-rays into the imager and its intensity, a position and an activity of a gamma-ray source can be estimated by several 4pi gamma images obtained by the imager moving around the source in combination with locations and orientation data of the imager. Using a 3D pixel array CdTe detector as a prototype of 4pi Compton gamma-ray imager, both the position and activity of a single 137 Cs point source was estimated quantitatively in 3D voxel space by 4pi Compton gamma-ray images measured at three positions. In addition, 4pi gamma images were obtained by off-line processing of data acquired during the movement of the vehicle-mounted imager with processing time less than measurement time.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages18-21
Number of pages4
ISBN (Electronic)9781728166674
DOIs
Publication statusPublished - 2020 Jan
Externally publishedYes
Event2020 IEEE/SICE International Symposium on System Integration, SII 2020 - Honolulu, United States
Duration: 2020 Jan 122020 Jan 15

Publication series

NameProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020

Conference

Conference2020 IEEE/SICE International Symposium on System Integration, SII 2020
CountryUnited States
CityHonolulu
Period20/1/1220/1/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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